Marble Bar Australia
For some reason, Marble Bar Australia captures attention. This isn’t the first time it’s come around. We’ve had folks bring it up on some of the other Australia and Pacific threads. But it’s the first time I really looked closely at what is around Marble Bar.
How Do I Love Thee? Let Me Count The Splices
In looking at Marble Bar, the first thing I stumbled over was the question of “Which Marble Bar”? There are two places with slightly different locations and very different names that are very near to each other:
[chiefio@Hummer 2010]$ inin ^5019431500
50194315000 MARBLE BAR -21.17 119.75 189 239R -9HIDEno-9x-9SAND DESERT A 0
50194315001 NULLAGINE (NULLAGINE POST OFFI -21.88 120.12 380 434R -9HIDEno-9x-9SAND DESERT A 0
Decoding this we have “501” as the Australia Country Code. Then “94315” as the main station number. The next 3 digits are used to tell you which “sub-station” is in use at a location. The idea being that if you have a thermometer near the runway at the airport and one on the tower, you can tell them apart. OK, it turns out that “Marble Bar” and “Nullagine Post Office” have the same major station number. Marble Bar having the “000” 3 digit substation ought to be the oldest and “001” ought to have come along later. The numbers after the name are the LAT LONG ALTITUDE as reported and Altitude from a Grid Map. So we can see these are within fractional degrees of the same place, though the Post Office is a bit up slope from Marble Bar. They both have an R for Rural and then a “-9” for no population count. Neither one is an airport (that “x” where airports would have “A”). And both are “Sand Desert”.
But what else is near there that might be blended with them into the Grid / Cell by programs like GIStemp?
Casting a slightly larger net we get several stations in the area:
[chiefio@Hummer 2010]$ inin ^5019431
50194312000 PORT HEDLAND -20.10 119.57 10 8S 13FLxxCO 5A 5WATER A 0
50194312001 GOLDSWORTHY (GOLDSWORTHY) -20.35 119.52 45 38R -9FLDECO30x-9SAND DESERT A 0
50194313000 WITTENOOM -22.23 118.33 464 537R -9HIDEno-9x-9WARM GRASS/SHRUBA 0
50194315000 MARBLE BAR -21.17 119.75 189 239R -9HIDEno-9x-9SAND DESERT A 0
50194315001 NULLAGINE (NULLAGINE POST OFFI -21.88 120.12 380 434R -9HIDEno-9x-9SAND DESERT A 0
50194318000 NYANG -23.03 115.03 112 110R -9HIDEno-9x-9WARM GRASS/SHRUBA 0
50194318001 NYANG (WINNING) -23.17 114.53 75 67R -9HIDEno-9x-9WARM GRASS/SHRUBA 0
50194319000 TELFER -21.70 122.22 294 321R -9HIDEno-9x-9SAND DESERT C 18
Hmm… There are two NYANGs here, with a change of minor number. So another station move / splice.
Everything is “Sand Desert” or “Warm” something or other. Except “Port Hedland” that is “water” and has an “A” airport flag. It is Suburban (that “S” in the 8S so it’s at 8 meters of elevation and is a Suburban Airport. The 13 claims about 13,000 population. This is sounding less and less like an unchanging Rural Desert and more and more like a growing suburban water playground, perhaps with some shipping industry.
From the Wiki:
http://en.wikipedia.org/wiki/Port_Hedland,_Western_Australia
Port Hedland is the highest tonnage port in Australia [2] and largest town[3] in the Pilbara region of Western Australia, with a population of approximately 14,000 (this includes its satellite suburb South Hedland, 18 km away).
Port Hedland is a natural deep anchorage port which, as well as being the main fuel and container receival point for the region, was seen as perfect for shipment of the iron ore being mined in the ranges located inland from the town. The ore is moved by railway lines from four major iron ore deposits to the east and south of Port Hedland area. Other major resource activities supported include the offshore natural gas fields, salt, manganese, and livestock. Grazing of cattle and sheep was formerly a major revenue earner for the region but this has slowly declined. Port Hedland was formerly the terminus for the WAGR Marble Bar Railway which serviced the gold mining area of Marble Bar.
So we’ve moved from a declining mining area in the hills to a growing sea port with significant new rail lines and ore handling facilities along with cargo container handling (and the attendant trucks, tarmac and all…).
So, what’s to “tour” in Port Hedland? Well, these folks offer a 24 hour tour that I’d love (but I’m “into” machinery). It includes a nice stop at the BHP Billiton works:
http://www.creativespirits.info/ozwest/porthedland/24hours.html
4.00 pm
Go to the Tourist Bureau in Wedge Street. The staff is very helpful with all your questions. Book your BHP Billiton iron ore tour for tomorrow morning (Monday to Friday only). Get a town map. The office is open till 5 pm.4.30 pm
Stroll through the town and admire the red dust that covers everything. Use the low sunlight for photography. You might like to buy some minerals at the Rock Shed (good value).Port Hedland. Near Richardson Street. View to Finucane Island with port facilities.
5.50 pm
Depending on the time of year you are here, the sun sets. Off Richardson Street you can walk to a small three-storey jetty that is an ideal platform to see the sun setting behind the harbour opposite on Finucane Island.Check out whether you can hire a bike from your accommodation for tomorrow (if you don’t own a car).
8.30 am
Tourist Bureau opens. For a small fee you can climb the Observation Tower, overlooking the red dusty town and the BHP Billiton iron ore site. Good for great morning shots of the town, but mind your hat! You must wear closed shoes to be allowed to climb, and I would advise you not to wear anything white or valuable, as the tower is somewhat rusty.9.30 am
The BHP Iron Ore Tour starts. You’ll be picked up from the Tourist Bureau in a van which drives through the working plant. Unfortunately you cannot get out to take photos (security). However, the driver is happy to stop anywhere you like and parks the van in the right position. The tour concludes around 11.30 am. The new HBI (hot briquetted iron) plant is not included in the tour.
OK… “Hot Briquetted Iron” does not sound very pristine nor cool… Though I’d love to take a tour of a working ironworks… That “Smith” part of the name is from a family of working Smiths… At about 5 years old my Dad taught me to temper a knife blade by color temperature. Hey, folks who LIKE Iron really LOVE Big Iron! So I’m putting Port Hedland on my “wish list” for next time I’m “Down Under”… but YMMV. The link includes this picture:
BHP Iron Ore Plant with Salt Truck in foreground
It is believed that use of this picture for non-profit educational purposes fits the “Fair Use” doctrine.
Interesting contrast is to Marble Bar. These folks:
http://www.discoverwest.com.au/western_australia/marble_bar.html
have this quote:
Situated some 200 km south east inland of Port Hedland, Marble Bar gained the dubious reputation of the hottest town in Australia when the temperature stayed above 100 degrees Fahrenheit 37.8 degrees Celsius for 161 consecutive days in 1923-24.
Hmmm…. Decisions decisions. Which one to keep in the data set. The one with declining Gold Mining industry and a record set in 1924 that has not been exceeded. The “hottest place” but not getting any hotter… Or… The cooler place by the shore with a rapid major industrializing trend including Iron Ore shipping, smelting and “Hot Briquetting” AND and Airport to boot?
I’m sure it was a very hard decision to make…
Marble Bar Today
Marble Bar has retained its mining background, with manganese mining, gold mining and pastoral production being the mainstay of the population of some 1000 souls.
Marble Bar Attractions
Some colonial buildings of when the brave and the adventurous from around the world were lured by the gold rush to the far north west outback are still evident in Marble Bar. Government buildings erected in 1895 are retained and National Trust listed; the Comet Gold Mine is a museum with displays of rocks, minerals and local gemstones. It also has the highest smoke stack in the southern hemisphere and underground mine tours take place daily.
Marble Bar Nearby Attractions
The Jasper deposit is at Marble Bar Pool, 4 km from town; where splashing water on the marble brings out the colour of the Jasper quartz rock. Chinamans pool is an ideal picnic spot, with an infamous history: A Chinese miner was hanged here, in the olden days when he refused to disclose the secret location of his gold strike to claim jumpers. Fifty kms north of Marble Bar, on the Port Hedland Road, is One Mile Gorge, a photographers and bush walkers delight. Approximately 68km out of Marble Bar, on the old Shay Gap Road, is a deep cutting in the hills known as Coppins Gap, and 6km further on is Kittys Gap.Doolena Gorge, some 45 km NW of Marble Bar is the place to watch the romantic and dramatic glow as the cliff-face turns bright red in the setting sun.
Though it may be just a bit hard to get to these days, and I’d double check that there are accommodations if headed that way. This site:
http://www.planetware.com/australia/marble-bar-aus-wa-mb.htm
makes it sound a bit “small” and getting smaller…
The old gold-digging town of Marble Bar (pop. 330) lies in the arid interior. Its name comes from the unique bar of red jasper which crosses the (usually dry) Coongan River 6km from the little township and gleams when it is wet.
The new line of the Great Northern Highway no longer passes through Marble Bar but between Newman and Port Hedland through the Pilbara region farther to the west. The old road, 480km long, is now a mere track, leaving Marble Bar isolated.
Marble Bar holds the record as the hottest place in Australia. In 1923-4 the temperature was above 37.8°C on 160 successive days.
Marble Bar, now a typical outback settlement, preserves as a reminder of the gold boom its massive government buildings (1895), built of local stone, which are now occupied by the police station and mining offices.
Since the temperature was taken ‘at the Post Office’ for a lot of the time, this “downtown” scenic is probably indicative of the area:
Marble Bar Australia Downtown
(as a non-profit educational use I believe that use of this image falls under the “fair use” doctrine).
Original and more images can be found at:
http://www.pleasetakemeto.com/australia/marble-bar/photos/marble-bar_001227
h/t DJA in comments.
And the rest of the photo collection even includes the dry hot surrounds that I’ve “cherry picked out” via picking a “downtown” shot.
The Marble Bar Area, Graphs and Splicing
First up, Marble bar and the nearby Nullagine Post Office.
Marble Bar
Modestly Flat with a bit of a drop at the start and a tiny rise at the end, but probably artifacts of the cut off times. “Accidental” non-average moments at the start and end.
Marble Bar Monthly Anomalies and Running Total
Nullagine
A little drop and a touch of volatility, but again, mostly flat.
Nullagine Post Office Monthly Anomalies and Running Total
Combined, Nullagine and Marble Bar
Golly, talk about “emergent behaviours”. We now have nicely drooping entry and nicely rising exit. Still substantially flat in the middle, though now with a clear “rise over time” to the trend line.
Marble Bar and Nullagine Combined Anomalies and Running Total
Port Hedland
This is one of the stations that makes it into the present. It’s over by the coast though. Described above as growing and industrial. Volatile with a bit of rise, but nothing spectacular. Mostly a bit of “droop” at the start and an odd drop / overshoot rebound at the end. The middle is more flat than not.
Port Hedland Monthly Anomalies and Running Total
Goldsworthy
A mining town a bit more inland. A short record that looks a bit like a “boom town” rapid growth of a mine. A very short 25 year record with what looks like about 0.6 C of rise, mostly as a ‘step function’ right in the middle.
Goldsworthy Monthly Anomalies and Running Total
Combining Goldsworth and Port Hedland
Golly, more emergent behaviour… who knew? Now we have a much more smoothly rising trend line with an odd “dip” in the end, but then a recovery back to “trend”…
Port Hedland and Goldsworthy Combined Anomalies and Running Total
OK, that’s 4 of the 7 stations “in the area” and now I’m “hooked”. How about the remaining stations?
Two Misc. Stations
Wittenooom
Wittenoom Monthly Anomalies and Running Total
Telfer
Telfer Monthly Anomalies and Running Total
The Nyang and Nyang Winning set, when Spliced
These two fragments are disjoint in time by a few years, but in theory if you can splice anything with impunity it ought to be two records from “substantially the same place”…
Nyang
First up, the “more or less flat” recent tail end.
Nyang Monthly Anomalies and Running Total
Nyang Winning
Then the early segment from prior to the 25 year gap. This bit with a rising trend.
Nyang Winning Monthly Anomalies and Running Total
What happens when spliced?
We get a nice rising trend out of it. The end is still flat, but the fact that the “lift” all comes from one hot segment in time at a single slightly different place is “lost in translation”.
Nyangs as Combined Anomalies and Running Total
The 7 Stations numbered Near Marble Bar when Combined
OK, now we’re going to take all the above stations and see what happens when we combine all of them together. (This is “reasonable” as the other climate codes frequently “homogenize” together and combine records from up to 1000 km away. Further, GIStemp will then use those combined records to fill in a “Grid Box” up to 1200 km away.
Now we get a stellar fast and hot rise of temperatures. All from splicing a bunch of shorter records for places that were not individually having that much rise over that much lifetime…
Magnificent 7 Near Marble Bar Combined Anomalies
(This is a total of 8 stations: the 7 “near” it, plus Marble Bar, or think of it as treating the two “NYANG”s as the same place. The “splicing” max count shows some stations don’t all overlap.)
Have I mentioned lately that it’s A Very Bad Idea to splice data series? I think Marble Bar is a stellar example of why. If you live in “Boom Town” country and move the thermometer with you every time a new boom town forms, you catch a series of “Boom Town Heat Island Explosions”. Then Splicing them all together is a horrifically wrong thing to do. And what is “averaging anomalies” other than a computerized automated splice? And what do all the data series ( such as GIStemp and CRUtem et all) do? Yup, average anomalies. Though they do it on steroids as they do a boat load of “fill in” prior to that process, so you get a “double dip” of the splice artifacts.
Conclusions
I can just hear The Warmers saying things like “Well, of course you found a warming trend, you just spliced without all the appropriate adjustments done by GIStemp and other professional codes.
One Small Problem.
They find the same “warming trend”.
NASA GISS Anomaly map Dec 2009 Default 1200 km 'fill in'
Marble Bar is over in that deep red blob on the North West corner of Australia… And it isn’t just an artifact of this particular monthly graph. It’s in the yearly too:
The GISS view of 2009 via their Anomaly Map for 2009
So, IMHO, their method of splicing my be slightly better, but it’s still a splice. “Houston, YOU have a problem!”.
Some Data
I’m going to post some data blocks here. These are the same data as in the graphs. I will most likely delete these data blocks in a day or two unless someone asks for them to be retained.
So, what does the data look like? First up Marble Bar (where, oddly, the 1992 anomaly from the data is higher than the 1924 anomaly when the record was set. Gee, wonder if there was about to be an embarrassing need to explain how the “anomalies in the data” could be higher with no records being set… just speculation mind you…)
Produced from input file: ./DTemps/Temps.rM50194315000 Thermometer Records, Average of Monthly dT/dt, Yearly running total by Year Across Month, with a count of thermometer records in that year ----------------------------------------------------------------------------------- YEAR dT dT/yr Count JAN FEB MAR APR MAY JUN JULY AUG SEPT OCT NOV DEC ----------------------------------------------------------------------------------- 1992 0.66 -0.66 1 -1.5 -0.1 -0.8 -0.4 0.0 1.1 1.0 -2.0 -1.0 -4.2 0.0 0.0 1991 0.37 0.29 1 2.0 1.5 0.6 0.0 0.2 0.7 1.0 0.0 -0.6 2.8 -4.6 -0.1 1990 -0.47 0.83 1 -0.2 -1.0 2.2 1.5 0.4 2.4 0.4 1.8 -0.6 -0.1 3.3 -0.1 1989 -0.26 -0.21 1 -1.1 0.8 -1.3 -0.3 1.2 -2.6 -1.7 -0.2 0.9 -2.1 0.7 3.2 1988 -0.37 0.11 1 1.6 2.0 0.6 -1.5 -0.3 -0.4 0.2 -0.4 -0.1 3.1 -1.4 -2.1 1987 -0.56 0.19 1 0.1 -2.9 -2.7 0.1 -1.1 1.4 3.6 1.9 1.1 2.2 0.0 -1.4 1986 -0.15 -0.41 1 -2.2 0.7 1.7 2.1 -0.5 0.0 -2.4 -2.6 -1.3 -1.3 0.1 0.8 1985 -0.87 0.72 1 2.4 -0.8 3.0 0.0 0.0 0.0 1.2 1.5 2.2 -2.5 0.0 1.7 1984 -0.89 0.02 1 0.9 -0.2 -2.1 2.5 2.0 -0.3 0.0 -1.3 -3.1 1.2 0.9 -0.3 1983 -1.05 0.16 1 0.0 2.9 1.8 -2.2 -0.9 1.4 -1.1 0.0 1.1 0.1 -0.4 -0.8 1982 -0.73 -0.32 1 -1.6 0.6 -0.9 -2.6 0.0 -0.5 0.6 0.0 -1.3 -0.8 2.7 0.0 1981 -0.53 -0.20 1 0.7 0.0 -2.6 3.3 -0.7 -1.5 -0.2 -0.3 -0.8 2.5 -1.9 -0.9 1980 -0.47 -0.06 1 -1.9 -2.4 1.5 -2.3 2.9 0.3 0.1 0.9 3.4 -1.6 -2.2 0.6 1979 -1.68 1.21 1 1.0 1.4 -0.3 0.7 -0.3 2.1 1.8 1.1 2.1 0.6 2.4 1.9 1978 -0.43 -1.25 1 -0.9 -3.3 0.5 0.5 -0.9 -1.0 -2.3 -1.8 -1.3 -1.8 -1.1 -1.6 1977 -1.64 1.21 1 2.6 2.6 2.3 0.6 0.0 0.1 0.2 0.8 -0.6 3.7 3.2 -1.0 1976 -0.85 -0.79 1 -2.0 0.4 -2.5 -1.4 -1.6 -0.5 -1.5 0.5 -1.9 0.4 -2.5 3.1 1975 -1.26 0.41 1 2.8 -0.5 0.0 2.7 1.8 0.6 0.6 -1.7 0.6 -1.9 1.1 -1.2 1974 -0.12 -1.14 1 -1.1 -1.9 -0.8 -3.3 -1.6 -0.4 -2.5 0.3 1.1 -1.0 -1.7 -0.8 1973 -0.33 0.22 1 -0.7 1.5 0.7 1.4 0.3 -1.4 3.0 1.4 -2.0 1.0 -1.1 -1.5 1972 -1.43 1.10 1 0.0 0.5 -0.4 0.4 0.8 2.6 1.4 0.5 1.6 0.0 4.3 1.5 1971 -0.46 -0.97 1 -2.7 -1.1 -0.6 -1.3 0.8 -2.6 -1.4 -0.7 1.6 -2.1 -1.9 0.3 1970 -0.89 0.43 1 1.4 2.2 1.6 1.4 -1.6 2.7 0.2 0.0 -0.3 0.3 -1.8 -0.9 1969 -1.78 0.89 1 2.8 -1.5 1.0 -0.3 3.0 -2.1 0.9 2.8 -0.1 1.6 1.1 1.5 1968 -1.14 -0.64 1 0.0 1.9 -1.4 -0.7 -3.5 1.9 0.0 -1.8 -0.9 -2.3 -1.0 0.1 1967 -1.94 0.80 1 -2.3 -1.0 0.0 0.6 3.1 -0.9 0.0 0.5 2.0 3.6 3.0 1.0 1966 -0.26 -1.68 1 -0.2 -3.1 1.4 -0.2 -3.5 -2.0 0.1 -2.1 -3.0 -2.1 -2.6 -2.9 1965 -0.87 0.61 1 0.1 1.2 -2.3 -0.6 2.1 1.3 -0.5 0.3 -0.4 2.4 2.2 1.5 1964 -1.45 0.58 1 2.1 3.5 0.6 1.3 -0.4 1.9 -0.1 1.5 0.9 -2.6 -1.7 0.0 1963 -1.13 -0.32 1 -1.4 -0.7 -0.3 -0.9 0.4 -3.2 0.5 0.1 0.5 1.9 0.6 -1.4 1962 -0.86 -0.27 1 0.0 0.0 1.0 -0.3 0.3 2.3 1.1 -0.2 -1.3 -3.8 -1.6 -0.7 1961 -1.05 0.19 1 0.1 0.0 -0.8 0.1 1.1 -0.5 -2.3 -0.7 1.8 1.1 1.0 1.4 1960 -0.03 -1.02 1 -1.8 -3.5 -2.0 -1.2 -1.4 -0.3 2.0 0.1 -2.5 0.3 -2.0 0.0 1959 -0.72 0.69 1 2.6 0.1 2.5 -0.7 -3.5 -1.3 0.0 0.0 3.2 3.3 2.1 0.0 1958 -0.33 -0.39 1 -2.6 2.3 -0.7 0.4 1.8 0.6 0.1 0.1 -3.0 -3.2 -1.8 1.3 1957 -1.49 1.17 1 1.2 -0.8 2.6 1.5 3.3 1.5 0.2 -0.3 2.1 2.1 2.0 -1.4 1956 -1.48 -0.01 1 1.4 -0.1 -2.1 0.2 -0.8 1.2 -0.8 -0.4 -1.7 1.2 0.8 1.0 1955 -0.38 -1.10 1 -1.8 -0.9 -2.2 1.3 -2.5 -0.9 -0.9 -0.4 0.0 -2.9 -0.8 -1.2 1954 -0.81 0.42 1 -0.4 0.6 0.1 -1.5 2.1 -1.0 -0.8 2.8 2.3 1.0 0.1 -0.2 1953 -0.91 0.10 1 1.1 -1.3 1.9 -0.8 -0.2 1.0 1.0 -1.2 -2.0 0.2 0.2 1.3 1952 -0.53 -0.38 1 0.1 1.3 -1.2 -0.4 -0.2 -1.4 0.3 0.3 0.5 0.0 -3.1 -0.7 1951 -1.27 0.73 1 -0.6 -0.1 1.1 2.3 -0.9 2.7 1.4 -0.9 -0.1 1.1 2.7 0.1 1950 -2.08 0.81 1 0.5 4.1 1.4 1.7 2.1 -0.3 -1.4 -1.6 1.5 0.0 1.6 0.1 1949 -1.78 -0.29 1 1.0 -2.7 1.2 -1.0 -1.3 -0.5 0.2 2.0 -0.6 -1.8 -0.4 0.4 1948 -1.07 -0.72 1 -2.3 -0.4 -0.1 -1.3 -1.4 -3.0 -2.2 -0.5 0.9 2.6 -1.5 0.6 1947 -1.23 0.17 1 1.1 1.4 -1.1 2.4 0.0 2.3 1.1 -1.9 -0.8 -2.7 2.3 -2.1 1946 -0.37 -0.87 1 -0.8 -3.9 -0.7 -3.6 0.1 -1.3 0.3 -0.4 -0.1 1.5 -2.8 1.3 1945 0.26 -0.62 1 -0.4 0.2 -2.3 0.2 0.6 0.7 0.4 0.6 -4.2 -2.5 -0.7 -0.1 1944 -1.55 1.81 1 0.7 3.9 2.1 1.2 1.8 1.0 0.4 2.3 4.4 1.2 3.3 -0.6 1943 -1.53 -0.03 1 3.7 -0.2 1.7 0.6 -2.5 -0.9 -0.8 -1.9 -1.5 0.4 -0.9 2.0 1942 -0.21 -1.32 1 -4.0 -4.1 -0.3 -3.1 -0.4 0.4 -2.4 1.2 -0.4 0.6 -1.0 -2.3 1941 -0.35 0.14 1 2.9 1.6 -2.4 2.6 2.6 -1.2 1.9 -1.3 -0.9 -3.0 -0.7 -0.4 1940 -1.33 0.98 1 -0.5 0.7 0.8 -0.8 -2.4 2.3 3.1 2.5 2.3 2.5 1.0 0.3 1939 0.30 -1.63 1 -1.1 -0.1 -2.3 -0.8 -0.6 -2.2 -1.7 -1.9 -2.6 -3.3 -2.5 -0.5 1938 -0.67 0.97 1 1.3 -0.8 1.0 2.3 -0.3 0.5 0.8 1.1 2.6 1.9 -0.1 1.3 1937 0.27 -0.93 1 -3.0 -1.8 -0.2 -1.7 2.5 0.9 -2.7 -3.2 -1.6 -0.1 1.2 -1.5 1936 -1.17 1.43 1 2.3 2.3 2.1 1.4 -0.4 1.0 2.1 2.7 3.2 1.4 -1.2 0.3 1935 -1.69 0.52 1 -1.1 -0.3 2.1 0.7 0.4 -0.9 -0.4 -0.2 -1.1 1.3 5.1 0.7 1934 -0.99 -0.70 1 -1.6 -1.9 -2.7 0.3 0.0 -1.4 -0.4 2.0 0.1 -1.7 -2.4 1.3 1933 -0.67 -0.32 1 0.7 1.9 -2.0 -0.9 0.1 0.9 -0.8 -1.3 -0.3 0.6 -1.7 -1.0 1932 -1.42 0.75 1 1.8 -1.1 2.2 -1.1 1.7 1.4 0.2 -0.1 0.3 0.5 3.8 -0.6 1931 -0.36 -1.07 1 -2.3 0.9 -0.3 -0.3 -2.4 -3.3 -0.2 -0.3 -2.9 -0.3 -3.7 2.3 1930 -0.85 0.49 1 -0.7 -0.9 1.3 0.5 -1.8 2.7 2.6 -0.8 4.1 -0.1 0.0 -1.0 1929 0.13 -0.97 1 2.0 1.9 -3.5 -3.4 2.0 -0.2 -1.4 -2.6 -4.2 -1.1 -1.4 0.2 1928 -0.71 0.83 1 0.1 -0.1 2.6 5.1 0.7 -1.3 -0.5 1.9 0.8 -0.2 2.0 -1.1 1927 -0.31 -0.40 1 -0.1 -2.0 0.2 -2.8 0.8 1.5 -1.1 1.1 -0.4 -0.4 -2.0 0.4 1926 -1.27 0.96 1 1.9 3.1 -0.1 1.5 -2.7 -0.7 3.6 0.7 3.9 1.1 0.7 -1.5 1925 0.09 -1.36 1 -3.2 -3.5 -1.8 -0.2 -1.3 -1.5 -5.5 -0.8 -3.2 1.7 2.3 0.7 1924 -0.88 0.98 1 2.4 1.2 0.6 -1.0 2.5 2.2 3.3 0.6 2.0 -1.3 -1.7 0.9 1923 -0.59 -0.29 1 -2.8 -0.4 0.7 0.0 0.0 -0.9 1.9 -0.7 -1.8 -1.1 1.0 0.6 1922 -0.78 0.19 1 0.3 2.4 1.7 1.1 -2.0 -0.4 -2.0 0.9 1.6 1.4 -0.5 -2.2 1921 -1.10 0.32 1 0.3 -3.0 -1.2 2.5 2.6 0.9 0.5 0.0 0.0 -1.3 0.7 1.8 1920 0.05 -1.15 1 0.0 1.9 -1.6 -3.7 -1.9 -2.2 -1.7 -2.0 -0.8 -0.8 -0.8 -0.2 1919 -0.72 0.77 1 1.2 2.5 2.4 0.4 0.7 0.5 1.7 2.2 -1.8 -0.1 -0.3 -0.2 1918 -1.56 0.84 1 2.4 -0.4 0.0 1.7 2.6 2.3 -3.0 0.3 1.4 1.1 1.1 0.6 1917 -0.33 -1.23 1 -4.1 -3.0 -1.1 -0.4 -3.2 -3.4 3.6 -2.6 -1.5 0.9 1.4 -1.3 1916 -0.58 0.24 1 3.3 1.5 -1.2 -0.9 1.3 0.3 -1.6 2.7 2.9 -0.5 -4.0 -0.9 1915 0.17 -0.75 1 -0.7 -2.3 -1.0 -1.5 -0.2 1.4 -0.4 -3.5 -3.1 -2.8 2.9 2.2 1914 -0.94 1.12 1 -0.6 0.1 2.5 1.1 2.1 2.3 -0.9 2.1 3.0 3.1 -1.2 -0.2 1913 -0.36 -0.58 1 -2.3 0.8 0.0 -0.2 -3.1 -0.4 2.3 -0.5 -1.3 -1.8 0.3 -0.8 1912 -0.38 0.02 1 1.5 0.4 -2.2 -0.1 0.5 0.2 -0.5 0.3 -0.4 0.8 -0.9 0.7 1911 -0.35 -0.03 1 -1.5 -0.6 2.2 -0.4 0.2 -1.2 0.4 -0.6 -1.9 0.5 1.4 1.1 1910 -1.28 0.93 1 3.4 0.1 -1.5 2.5 1.2 -0.1 -0.2 2.5 2.1 0.9 1.2 -0.9 1909 -1.53 0.24 1 -2.9 1.6 2.1 -1.3 -0.4 1.4 1.4 -0.1 2.2 0.3 -2.2 0.8 1908 -0.95 -0.57 1 1.9 -0.9 0.7 0.3 -0.3 -0.9 -2.1 -1.7 -1.3 -2.0 1.3 -1.9 1907 -0.15 -0.80 1 -1.2 -1.3 -2.7 -3.5 -1.0 -2.1 -0.4 0.1 1.8 0.5 -0.7 0.9 1906 -0.86 0.71 1 0.2 1.0 0.1 1.6 0.5 2.7 1.3 0.2 0.1 1.4 0.7 -1.3 1905 -1.23 0.37 1 -0.2 0.8 0.7 1.9 0.7 -0.1 0.3 -0.1 -1.7 1.4 -0.6 1.3 1904 -1.06 -0.17 1 0.0 -0.6 -0.5 0.4 -1.1 -1.7 -0.3 0.2 0.7 -1.7 1.1 1.5 1903 -1.48 0.42 1 2.9 2.2 0.0 -0.1 1.3 1.0 -0.2 -0.4 -0.9 0.6 -0.4 -0.9 1902 -1.93 0.45 1 0.0 0.5 3.1 0.3 -0.3 1.1 2.1 2.5 0.0 -0.4 -1.7 -1.8 1901 -1.93 0.00 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 For Country Code 50194315000 From input file ./data/v2.mean.inv11.M.dt
So “Marble Bar” is modestly flat in the -1.x range until the 1980 “lift” we’ve seen before, then ramps up a bit and is dropped in 1992.
The “nearby” Post Office at Nullagine:
Produced from input file: ./DTemps/Temps.rM50194315001 Thermometer Records, Average of Monthly dT/dt, Yearly running total by Year Across Month, with a count of thermometer records in that year ----------------------------------------------------------------------------------- YEAR dT dT/yr Count JAN FEB MAR APR MAY JUN JULY AUG SEPT OCT NOV DEC ----------------------------------------------------------------------------------- 1983 0.07 -0.07 1 -0.8 2.7 1.9 -2.0 -0.9 1.7 -1.7 -0.7 0.2 0.0 0.0 -1.2 1982 0.21 -0.14 1 -2.1 0.9 -0.8 -2.3 0.1 -0.3 0.9 0.3 -0.5 0.0 3.1 -1.0 1981 0.41 -0.20 1 1.8 -0.5 -2.7 2.8 -1.2 -1.7 -0.7 0.5 -1.0 2.7 -2.2 -0.2 1980 0.07 0.34 1 -1.5 -1.4 1.5 -1.5 3.3 0.9 1.2 0.4 3.4 -1.6 -1.6 1.0 1979 -1.17 1.24 1 1.2 1.4 -0.5 0.8 -0.6 1.7 1.1 1.3 2.7 0.5 2.7 2.6 1978 -0.18 -0.99 1 -0.5 -3.3 2.7 0.3 -0.7 -0.4 -1.3 -1.5 -1.4 -2.0 -1.4 -2.4 1977 -0.99 0.81 1 1.3 1.7 0.0 0.1 0.1 0.1 -0.4 0.9 -0.5 4.0 2.9 -0.5 1976 -0.65 -0.34 1 -1.6 1.3 -2.2 -0.5 -1.0 -0.2 -1.5 0.7 -2.0 1.1 -1.6 3.4 1975 -0.51 -0.14 1 2.5 -0.3 0.1 2.3 1.1 -1.3 0.5 -2.2 0.8 -2.6 -1.2 -1.4 1974 0.41 -0.92 1 -0.7 -0.9 -0.4 -2.9 -0.1 0.0 -3.1 0.0 -1.5 -0.6 0.0 -0.8 1973 -0.20 0.61 1 0.0 0.0 0.6 1.2 0.0 -0.2 3.8 1.8 0.0 -0.6 2.6 -1.9 1972 -0.33 0.13 1 -2.1 -0.4 -1.6 0.1 -0.4 2.4 0.5 0.1 1.4 0.5 0.0 1.1 1971 -0.61 0.28 1 0.0 0.0 1.3 -0.5 1.1 -0.1 -0.4 1.9 2.5 -2.0 -1.5 1.0 1970 -0.53 -0.08 1 0.0 1.9 0.0 0.0 -2.5 0.0 0.4 0.0 -0.8 2.0 -1.6 -0.3 1969 -0.82 0.28 1 0.3 -1.6 0.8 0.0 2.8 0.0 1.1 0.0 0.0 0.0 0.0 0.0 1968 -0.62 -0.19 1 0.0 0.2 0.7 0.0 0.5 0.0 -0.5 -3.2 0.0 0.0 0.0 0.0 1966 -0.57 -0.05 1 0.0 0.0 0.0 0.0 0.0 0.0 -0.6 0.0 0.0 0.0 0.0 0.0 1965 -0.57 0.00 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1964 -1.11 0.53 1 3.8 1.0 0.6 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1963 -0.88 -0.22 1 -0.2 -0.4 0.5 1.6 1.3 -3.0 0.5 -0.4 -0.9 0.6 -0.5 -1.8 1962 -0.87 -0.01 1 -0.5 0.1 -0.7 -2.3 -0.9 3.6 1.2 0.9 0.4 -2.3 0.4 0.0 1961 -1.24 0.37 1 0.5 0.0 0.7 0.3 2.6 -0.7 -2.7 -0.3 2.1 0.7 0.0 1.2 1960 0.33 -1.57 1 -2.0 -3.1 -2.3 -2.0 -2.3 -0.4 -0.2 -1.9 -3.6 0.3 -2.2 0.9 1959 -0.27 0.60 1 -0.3 -0.3 2.0 0.1 -1.7 -0.8 2.3 1.6 3.4 -0.1 1.8 -0.8 1958 -0.42 0.15 1 0.0 2.1 0.0 0.0 1.2 0.0 0.4 -0.4 -1.0 0.0 -2.1 1.6 1957 -0.42 0.00 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1956 -0.57 0.15 1 1.6 0.7 -1.0 0.9 0.0 0.3 -0.6 -1.1 -2.4 1.4 0.7 1.3 1955 0.46 -1.03 1 -2.1 -1.2 -3.2 0.9 -1.8 -0.2 -0.9 -0.2 0.1 -2.8 -0.3 -0.7 1954 0.34 0.12 1 0.0 1.1 0.8 -3.2 1.3 -1.8 -1.0 2.8 2.3 0.9 -0.7 -1.1 1953 0.31 0.03 1 0.6 -1.7 1.4 0.4 -0.3 1.5 1.0 -1.4 -1.7 -0.8 0.4 1.0 1952 0.43 -0.12 1 -0.5 0.7 -1.9 0.1 0.4 -1.5 0.6 1.0 0.3 1.2 -1.9 0.1 1951 -0.27 0.69 1 -0.1 0.1 3.5 3.1 -2.2 2.7 1.3 -1.9 -0.6 0.8 1.9 -0.3 1950 -0.78 0.52 1 -1.0 3.7 -0.6 1.2 2.4 -0.5 -1.0 -1.0 1.8 0.0 1.1 0.1 1949 -0.37 -0.42 1 2.4 -2.2 2.1 -1.8 -1.2 -0.4 -1.0 1.8 -0.9 -2.6 -0.5 -0.7 1948 -0.02 -0.34 1 -2.8 -1.2 -0.8 -0.5 0.0 -2.3 -0.9 -0.5 1.8 3.2 -2.1 2.0 1947 -0.02 0.00 1 0.7 2.3 -1.4 2.4 -1.1 1.4 0.4 -1.9 -1.4 -2.2 3.0 -2.2 1946 0.20 -0.22 1 0.9 -3.6 -0.1 -2.3 1.5 -0.1 1.3 -0.5 0.2 1.6 -2.4 0.8 1945 0.29 -0.09 1 -0.1 1.6 -0.9 -0.8 0.7 1.2 0.3 0.9 -2.6 -1.8 0.2 0.2 1944 -0.38 0.67 1 0.3 2.2 0.0 0.0 0.0 0.1 -1.4 2.0 2.7 0.4 1.8 0.0 1943 -0.27 -0.11 1 2.3 1.0 1.4 1.2 -2.4 -1.8 0.3 -2.1 -1.9 0.0 -0.5 1.2 1942 0.82 -1.09 1 -2.5 -5.2 -1.2 -0.2 -1.8 1.3 -2.3 1.4 0.2 -0.5 -1.0 -1.3 1941 0.56 0.26 1 1.5 2.2 0.0 0.0 4.4 -0.9 1.9 -1.2 -1.1 -2.2 -0.2 -1.3 1940 -0.08 0.64 1 -0.4 0.0 0.3 -1.5 -2.8 0.9 2.1 2.6 2.3 2.9 0.5 0.8 1939 1.19 -1.28 1 -0.8 -0.1 -1.9 0.1 -0.5 -1.1 -0.8 -1.0 -2.6 -3.2 -2.9 -0.5 1938 -0.17 1.36 1 1.6 -0.5 1.7 2.6 0.3 0.3 1.5 0.8 4.0 2.4 1.4 0.2 1937 0.72 -0.88 1 -2.7 -0.6 0.6 -1.0 2.7 1.0 -3.1 -3.8 -3.1 -1.2 0.8 -0.2 1936 -0.20 0.92 1 1.8 1.2 -0.1 0.3 -0.5 1.1 1.5 2.3 2.6 1.8 -1.4 0.4 1935 -0.76 0.56 1 -0.6 -0.5 2.0 0.3 0.7 -1.3 0.2 0.5 -0.8 0.9 4.5 0.8 1934 -0.71 -0.05 1 0.1 -1.1 -2.5 1.3 0.0 -0.7 -0.6 2.1 0.9 -0.4 -1.2 1.5 1933 -0.41 -0.30 1 -1.6 2.4 -0.9 -2.5 -1.0 2.0 -0.3 -1.0 0.6 0.4 -1.0 -0.7 1932 -1.13 0.73 1 2.9 -1.5 1.8 0.0 2.6 -0.1 -0.2 -0.1 -0.2 1.1 2.8 -0.4 1931 -0.02 -1.12 1 -2.0 1.5 -0.2 -0.2 -1.6 -2.4 -0.5 -1.1 -3.3 -1.4 -3.7 1.5 1930 -0.23 0.22 1 -0.6 -1.2 -0.3 0.3 -1.4 1.7 2.0 -0.5 4.1 0.1 -0.6 -1.0 1929 0.17 -0.40 1 1.6 1.8 -1.0 -2.3 1.5 1.1 0.0 -1.7 -3.8 -0.5 -0.7 -0.8 1928 -0.67 0.83 1 0.4 -0.9 1.4 5.5 0.9 -1.7 -0.3 1.5 0.9 0.0 1.9 0.4 1927 -0.60 -0.07 1 1.3 -1.3 1.0 -3.3 0.3 1.7 -0.8 1.9 -0.1 -0.4 -1.7 0.6 1926 -1.03 0.43 1 -0.2 2.8 -0.6 1.3 -2.9 -0.5 2.9 0.0 3.8 0.4 0.5 -2.3 1925 0.14 -1.17 1 -2.9 -2.5 -1.2 0.3 -1.3 -1.4 -5.0 -0.9 -4.2 1.6 2.3 1.1 1924 -0.54 0.68 1 2.2 0.3 -0.2 -1.9 2.2 1.6 2.6 0.6 3.1 -1.3 -1.3 0.3 1923 -0.44 -0.10 1 -2.6 -0.4 1.3 0.3 0.2 -1.5 2.6 -0.4 -1.7 -0.5 0.9 0.6 1922 -0.25 -0.19 1 0.7 1.8 0.8 1.3 -2.5 -0.8 -2.6 0.5 0.9 1.0 -1.1 -2.3 1921 -0.84 0.59 1 -0.1 -2.4 -0.7 1.7 3.3 1.6 0.7 0.1 0.2 -0.9 1.2 2.4 1920 0.73 -1.58 1 0.5 2.5 -0.7 -3.2 -2.7 -4.0 -3.5 -3.1 -2.0 -1.0 -1.2 -0.5 1919 -0.05 0.78 1 -0.1 0.9 1.4 0.1 1.2 1.5 3.6 2.7 -1.6 -0.2 -0.2 0.1 1918 -0.97 0.92 1 2.2 1.3 -0.2 0.9 3.0 4.2 -3.7 0.4 1.9 1.4 0.3 -0.6 1917 0.27 -1.24 1 -3.6 -4.6 -1.3 0.8 -3.4 -4.8 4.0 -3.0 -1.0 -0.2 1.8 0.4 1916 0.03 0.23 1 3.7 1.4 -1.0 -1.4 1.6 -0.2 -1.6 3.4 2.4 0.3 -3.6 -2.2 1915 0.96 -0.92 1 -0.7 -1.7 -1.8 -1.5 -0.5 2.2 -0.9 -3.9 -2.9 -2.8 2.0 1.4 1914 0.05 0.91 1 -1.6 0.1 2.3 0.5 1.2 2.5 -0.4 2.3 3.0 2.0 -1.0 0.0 1913 0.05 -0.00 1 -1.8 1.3 1.8 1.8 -2.1 -0.3 1.4 -1.0 -1.2 -0.5 1.1 -0.5 1912 0.51 -0.46 1 1.3 -1.3 -2.6 -1.3 -0.7 -0.9 0.2 1.5 -0.1 -0.1 -1.8 0.3 1911 0.70 -0.19 1 -0.9 -0.6 2.1 -0.4 -0.3 -1.4 -0.3 -1.7 -2.8 1.7 1.6 0.7 1910 -0.18 0.88 1 2.1 1.4 -2.4 1.7 2.1 -0.1 0.5 2.2 2.0 -0.7 0.9 0.9 1909 -0.56 0.38 1 -1.4 1.1 2.7 -0.5 -1.0 2.0 1.4 -0.2 2.2 0.7 -2.1 -0.4 1908 0.07 -0.62 1 0.7 -1.5 -0.2 -0.5 0.3 -1.1 -2.7 -0.7 -1.0 -1.5 1.8 -1.1 1907 1.20 -1.13 1 -1.0 -2.0 -2.1 -3.7 -1.0 -2.4 -0.6 -0.6 1.4 -0.2 -1.2 -0.2 1906 0.20 1.00 1 0.6 1.8 -0.7 2.0 -0.5 2.4 2.8 0.7 1.1 2.0 0.9 -1.1 1905 -0.27 0.47 1 0.4 1.8 0.8 2.9 1.2 0.3 -1.6 -0.4 -2.9 0.9 -0.3 2.5 1904 -0.02 -0.24 1 0.0 -1.3 -0.2 -1.6 -0.2 -1.4 1.1 0.1 1.2 -1.3 0.0 0.7 1903 -0.85 0.82 1 2.3 2.2 0.5 1.8 1.4 0.9 -0.1 -0.5 -0.6 1.0 1.1 -0.1 1902 -0.42 -0.43 1 -3.3 0.3 3.0 -0.5 -0.8 0.5 0.7 2.0 -1.3 -1.1 -2.8 -1.9 1901 0.01 -0.42 1 0.4 -4.7 0.2 0.4 1.0 -2.2 0.9 -0.2 2.4 -2.8 1.4 -1.9 1900 -1.03 1.04 1 3.4 4.0 -0.3 0.0 0.9 2.4 -0.9 -0.3 -2.8 3.6 -0.3 2.8 1899 -1.04 0.01 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.9 1.2 -0.2 1898 -1.04 0.00 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 For Country Code 50194315001
Is very similar. But cuts off in 1983. It does start further back in time. Odd given the higher station number.
Then we have Port Hedland.
Produced from input file: ./DTemps/Temps.rM50194312000 Thermometer Records, Average of Monthly dT/dt, Yearly running total by Year Across Month, with a count of thermometer records in that year ----------------------------------------------------------------------------------- YEAR dT dT/yr Count JAN FEB MAR APR MAY JUN JULY AUG SEPT OCT NOV DEC ----------------------------------------------------------------------------------- 2010 -0.01 0.01 1 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2009 -0.22 0.22 1 -0.5 -0.1 -0.1 0.0 -1.0 -0.1 1.8 0.1 -1.6 -0.4 2.5 2.0 2008 -1.10 0.88 1 1.3 -0.2 1.9 1.2 0.5 2.3 -0.5 1.1 1.5 2.3 -1.5 0.6 2007 -1.09 -0.01 1 1.2 0.9 -1.3 1.1 1.1 -0.1 2.1 -0.8 0.0 -2.2 -1.2 -0.9 2006 -0.70 -0.39 1 -2.2 -1.3 -1.3 -3.0 -1.9 -0.7 -2.5 0.8 1.2 3.5 2.1 0.6 2005 -0.80 0.10 1 1.2 2.1 1.5 1.6 2.1 -1.6 -0.7 0.6 0.3 -3.3 -1.3 -1.3 2004 -1.18 0.38 1 -0.2 -1.2 0.5 0.9 -1.6 -0.3 0.7 -0.6 -0.5 3.3 1.3 2.2 2003 -0.85 -0.33 1 0.4 1.4 -1.7 -1.4 -0.9 1.7 0.3 -0.4 1.0 -2.4 -0.7 -1.2 2002 -1.85 1.00 1 0.3 0.1 2.3 1.2 1.2 -0.1 0.5 -0.2 -1.1 3.5 1.8 2.5 2001 -2.08 0.23 1 1.7 -0.5 0.5 0.4 3.5 1.4 -0.6 1.5 -1.0 -2.0 0.4 -2.5 2000 -1.70 -0.38 1 -2.3 1.5 -1.5 1.9 -2.6 -2.3 1.2 -1.9 0.4 0.5 -0.5 1.0 1999 -0.46 -1.24 1 0.9 -3.0 -1.0 -3.2 -2.4 0.3 -0.7 -0.6 -0.7 -2.5 -1.5 -0.5 1998 -1.68 1.22 1 0.7 2.2 0.8 1.2 2.7 0.6 1.0 1.6 1.7 1.4 1.0 -0.3 1997 -0.60 -1.07 1 -1.8 -0.8 -0.4 -0.7 -0.1 -3.1 -2.2 -1.4 -0.8 -1.1 -0.4 -0.1 1996 -1.44 0.84 1 0.7 1.3 1.1 0.0 0.4 2.6 1.4 -0.6 -0.3 2.3 -0.2 1.4 1995 -0.36 -1.08 1 -1.8 -2.5 -1.3 0.6 -1.3 -0.5 -0.5 1.2 -0.8 -2.8 -1.3 -2.0 1994 -0.72 0.36 1 0.7 0.2 -0.4 -2.7 -0.9 0.0 0.8 0.4 1.7 3.3 1.8 -0.6 1993 -0.88 0.16 1 0.6 0.3 0.1 1.5 0.9 -1.4 -2.2 0.7 0.4 -1.4 0.6 1.8 1992 -0.33 -0.55 1 -0.7 -0.2 -0.5 -0.1 0.0 0.9 1.0 -1.7 -0.8 -3.3 0.0 -1.2 1991 -0.43 0.11 1 0.5 0.2 0.3 0.1 0.4 0.9 1.0 0.6 -0.8 2.7 -4.6 0.0 1990 -1.23 0.80 1 -0.3 -0.5 1.4 1.2 0.3 1.6 0.2 1.3 -0.5 0.6 3.4 0.9 1989 -0.38 -0.85 1 0.4 -1.0 -1.6 -0.9 -0.5 -2.5 -1.4 -1.1 0.7 -2.6 -0.4 0.7 1988 -0.77 0.39 1 0.1 1.6 0.3 -1.0 -0.6 0.4 -0.1 0.2 -0.1 3.5 1.3 -0.9 1987 -1.05 0.28 1 -0.8 -0.2 -0.9 0.2 0.8 -0.2 2.7 1.7 1.0 1.3 -2.1 -0.2 1986 -0.99 -0.06 1 0.5 -0.4 1.1 1.0 0.2 1.4 -1.8 -1.3 -0.5 -0.9 0.2 -0.2 1985 -0.83 -0.16 1 -0.5 -0.8 1.6 0.1 -1.5 -0.3 0.3 0.2 1.2 -3.2 0.1 0.9 1984 -0.87 0.03 1 1.2 0.3 -1.1 1.9 1.6 -0.4 0.7 -1.0 -3.0 1.1 0.2 -1.1 1983 -0.78 -0.08 1 -1.2 2.2 1.0 -1.7 0.5 0.6 -1.1 -0.7 1.3 -0.2 -0.9 -0.8 1982 -0.75 -0.03 1 0.3 -0.3 0.0 -1.8 -0.8 0.3 0.0 0.2 -1.9 -0.5 3.0 1.1 1981 -0.42 -0.33 1 0.2 -0.2 -2.4 1.8 -1.0 -1.8 0.5 -0.4 -0.2 2.0 -1.6 -0.9 1980 -0.74 0.32 1 0.8 -1.0 1.1 -0.2 2.8 0.6 0.0 0.5 2.6 -1.1 -1.5 -0.7 1979 -1.45 0.71 1 -1.6 0.1 -0.4 0.0 -0.3 1.5 1.6 1.3 1.8 0.5 1.4 2.6 1978 -0.83 -0.62 1 0.3 -0.9 1.2 0.1 -1.1 -0.5 -1.8 -1.2 -0.7 -1.1 -0.7 -1.0 1977 -1.66 0.82 1 1.3 0.8 0.9 0.5 0.4 0.2 0.0 0.6 -0.3 2.9 2.8 -0.2 1976 -0.93 -0.73 1 -0.4 0.9 -1.9 -0.6 -1.1 -0.7 -1.4 0.5 -2.1 -0.4 -1.9 0.3 1975 -1.30 0.37 1 0.8 -0.3 0.6 1.5 0.6 -0.4 1.1 -0.8 1.4 -0.9 1.2 -0.3 1974 -0.13 -1.17 1 -1.2 -2.0 -0.8 -1.3 -1.1 0.2 -3.2 -1.1 0.4 -1.3 -1.7 -0.9 1973 -0.47 0.33 1 0.4 0.6 0.9 0.5 0.6 -0.5 3.3 1.9 -1.8 0.4 -1.7 -0.6 1972 -1.55 1.08 1 0.1 1.2 -0.2 0.3 0.6 2.6 1.1 0.1 0.9 0.8 3.9 1.6 1971 -0.81 -0.74 1 -1.0 -0.2 0.1 -0.7 0.2 -3.5 -1.3 -0.7 1.4 -1.5 -1.1 -0.6 1970 -1.26 0.45 1 0.1 0.4 -0.2 0.7 -1.4 2.8 0.3 0.7 -0.2 0.9 -0.5 1.8 1969 -1.20 -0.06 1 0.4 -0.7 0.4 -0.6 2.4 -2.5 0.8 1.4 -0.7 -0.3 -0.5 -0.8 1968 -1.23 0.03 1 1.5 1.1 0.2 -0.5 -3.0 2.5 0.5 -1.2 0.1 -0.5 -1.2 0.9 1967 -1.69 0.46 1 -1.6 -0.1 -0.6 0.3 2.7 -1.4 -0.5 0.2 1.6 2.3 3.2 -0.6 1966 -0.55 -1.14 1 -0.3 -2.2 0.7 0.0 -2.6 -1.9 -0.6 -1.0 -2.1 -1.2 -1.5 -1.0 1965 -0.83 0.28 1 0.2 1.1 -1.2 -0.3 1.4 1.1 -0.5 -0.3 -0.5 1.0 0.6 0.7 1964 -1.29 0.47 1 1.1 1.9 0.2 0.7 0.4 2.0 0.3 1.3 0.3 -2.0 -0.9 0.3 1963 -0.87 -0.42 1 -0.5 -1.3 -0.1 -0.5 0.3 -3.4 0.4 -0.4 0.4 2.2 0.0 -2.2 1962 -0.99 0.12 1 -0.2 1.1 0.7 -0.4 -0.7 2.7 1.5 0.9 -0.1 -3.7 -0.7 0.4 1961 -1.29 0.30 1 1.0 -0.3 0.1 0.0 1.7 -0.4 -2.5 -1.3 1.0 1.6 0.9 1.8 1960 -0.57 -0.72 1 -1.0 -0.9 -0.8 -1.0 -1.3 -0.4 -0.4 -1.4 -1.9 0.6 -0.7 0.5 1959 -0.82 0.25 1 0.4 -1.0 1.2 -0.2 -3.2 -1.0 2.1 1.6 1.8 1.9 0.0 -0.6 1958 -1.00 0.18 1 -0.4 1.7 -0.4 1.8 2.0 1.3 0.8 0.5 -1.2 -2.5 -0.7 -0.7 1957 -1.93 0.92 1 0.0 -0.3 1.0 0.1 3.1 1.0 0.0 -1.3 0.7 2.9 2.0 1.9 1956 -1.27 -0.66 1 0.7 -0.6 -1.6 -0.2 -1.4 0.6 -1.5 -0.3 -2.1 0.0 -0.3 -1.2 1955 -0.67 -0.60 1 -1.0 -0.8 -0.5 0.6 -2.2 -0.4 -0.4 0.4 1.3 -3.2 -0.1 -0.9 1954 -1.23 0.57 1 0.6 2.1 -0.8 -2.0 2.1 -0.9 -0.1 2.4 1.2 2.0 -0.2 0.4 1953 -1.59 0.36 1 0.1 -1.8 1.4 1.1 -0.6 1.3 -0.4 -0.2 -0.6 0.9 1.3 1.8 1952 -1.42 -0.17 1 1.7 1.2 0.0 -0.2 0.5 -1.6 0.9 -0.4 0.4 -0.2 -3.5 -0.9 1951 -1.63 0.22 1 -2.0 -0.3 0.2 1.4 -0.9 2.0 1.6 -1.2 -0.7 -0.1 3.0 -0.4 1950 -1.84 0.21 1 -0.1 1.6 0.1 1.2 1.3 -0.8 -1.2 -1.3 1.1 0.9 1.0 -1.3 1949 -1.70 -0.14 1 0.0 0.0 0.0 0.0 0.0 0.0 -1.3 1.4 -1.1 -2.5 -0.1 1.9 1948 -1.70 0.00 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 For Country Code 50194312000 From input file ./data/v2.mean.inv11.M.dt
That looks to me like it warms a bunch, but mostly a bit later in the series. (Chart will make it more clear).
So what does it look like when we splice all the “nearby” stations together?
A Splicing We Will Go, A Splicing We Will Go
The combined set of Seven “nearby” stations:
Produced from input file: ./DTemps/Temps.rM5019431 Thermometer Records, Average of Monthly dT/dt, Yearly running total by Year Across Month, with a count of thermometer records in that year ----------------------------------------------------------------------------------- YEAR dT dT/yr Count JAN FEB MAR APR MAY JUN JULY AUG SEPT OCT NOV DEC ----------------------------------------------------------------------------------- 2010 -0.06 0.06 2 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2009 -0.39 0.33 2 0.2 -1.2 -0.3 -0.1 -0.6 -0.9 0.6 1.2 -0.2 1.0 2.3 2.0 2008 -0.74 0.35 2 0.6 -0.1 0.9 0.6 0.2 1.1 -0.2 0.6 0.8 1.1 -1.1 -0.3 2007 -0.73 -0.01 1 1.2 0.9 -1.3 1.1 1.1 -0.1 2.1 -0.8 0.0 -2.2 -1.2 -0.9 2006 -0.34 -0.39 1 -2.2 -1.3 -1.3 -3.0 -1.9 -0.7 -2.5 0.8 1.2 3.5 2.1 0.6 2005 -0.44 0.10 1 1.2 2.1 1.5 1.6 2.1 -1.6 -0.7 0.6 0.3 -3.3 -1.3 -1.3 2004 -0.81 0.38 1 -0.2 -1.2 0.5 0.9 -1.6 -0.3 0.7 -0.6 -0.5 3.3 1.3 2.2 2003 -0.49 -0.33 1 0.4 1.4 -1.7 -1.4 -0.9 1.7 0.3 -0.4 1.0 -2.4 -0.7 -1.2 2002 -1.49 1.00 1 0.3 0.1 2.3 1.2 1.2 -0.1 0.5 -0.2 -1.1 3.5 1.8 2.5 2001 -1.72 0.23 1 1.7 -0.5 0.5 0.4 3.5 1.4 -0.6 1.5 -1.0 -2.0 0.4 -2.5 2000 -1.34 -0.38 1 -2.3 1.5 -1.5 1.9 -2.6 -2.3 1.2 -1.9 0.4 0.5 -0.5 1.0 1999 -0.10 -1.24 1 0.9 -3.0 -1.0 -3.2 -2.4 0.3 -0.7 -0.6 -0.7 -2.5 -1.5 -0.5 1998 -1.31 1.22 1 0.7 2.2 0.8 1.2 2.7 0.6 1.0 1.6 1.7 1.4 1.0 -0.3 1997 -0.24 -1.07 1 -1.8 -0.8 -0.4 -0.7 -0.1 -3.1 -2.2 -1.4 -0.8 -1.1 -0.4 -0.1 1996 -1.08 0.84 1 0.7 1.3 1.1 0.0 0.4 2.6 1.4 -0.6 -0.3 2.3 -0.2 1.4 1995 0.00 -1.08 1 -1.8 -2.5 -1.3 0.6 -1.3 -0.5 -0.5 1.2 -0.8 -2.8 -1.3 -2.0 1994 -0.35 0.36 1 0.7 0.2 -0.4 -2.7 -0.9 0.0 0.8 0.4 1.7 3.3 1.8 -0.6 1993 -0.51 0.16 1 0.6 0.3 0.1 1.5 0.9 -1.4 -2.2 0.7 0.4 -1.4 0.6 1.8 1992 0.20 -0.71 6 -2.0 -0.6 -0.7 -0.8 -1.0 1.1 0.9 -1.7 -1.1 -2.6 0.0 -0.2 1991 -0.14 0.34 6 1.9 2.2 0.3 0.3 0.3 0.5 0.8 -0.1 -0.6 2.3 -3.6 -0.3 1990 -0.80 0.66 6 -0.2 -1.6 1.7 1.1 0.6 1.5 0.2 1.7 -0.6 0.2 2.7 0.8 1989 -0.27 -0.53 6 -1.2 0.1 -1.4 -0.6 1.0 -2.4 -1.8 -0.6 0.7 -2.5 0.8 1.7 1988 -0.71 0.44 6 1.5 1.6 0.7 -1.1 -0.1 0.3 0.7 0.2 0.1 2.7 0.1 -1.4 1987 -0.79 0.08 6 -0.3 -1.3 -1.9 0.5 -0.9 0.1 2.8 1.4 0.9 2.1 -1.4 -1.1 1986 -0.46 -0.33 6 -1.3 -0.2 1.2 1.0 -0.0 0.8 -2.5 -1.7 -0.8 -1.1 -0.1 0.7 1985 -0.87 0.40 6 1.2 -0.6 2.4 0.3 -1.0 -0.2 1.2 0.8 1.5 -2.5 0.3 1.5 1984 -0.60 -0.27 6 0.7 0.7 -1.8 1.8 0.9 -0.8 -0.1 -1.4 -3.0 0.6 0.1 -1.1 1983 -0.86 0.26 7 0.0 2.2 1.7 -1.6 0.4 1.9 -1.1 -0.3 1.4 -0.2 -0.5 -0.8 1982 -0.63 -0.23 7 -1.6 0.4 -0.5 -2.2 -0.3 -0.3 0.6 0.2 -1.8 -0.2 2.9 0.1 1981 -0.34 -0.29 7 0.7 -0.8 -3.1 2.9 -0.9 -1.6 -0.2 -0.2 -0.5 2.4 -1.8 -0.7 1980 -0.51 0.17 7 -0.9 -1.2 1.6 -1.6 3.0 0.3 -0.1 1.0 3.2 -1.9 -1.5 0.1 1979 -1.50 0.99 7 0.6 0.9 -0.2 0.2 -0.7 1.7 1.6 0.9 2.2 0.9 1.7 2.1 1978 -0.51 -0.99 7 -0.5 -2.4 1.0 0.4 -0.9 -1.0 -1.9 -1.9 -1.6 -1.2 -0.8 -0.9 1977 -1.34 0.83 7 1.5 1.6 1.2 0.4 0.0 0.3 0.1 0.8 -0.4 3.1 2.5 -1.1 1976 -1.01 -0.33 7 -1.1 0.8 -1.4 -0.4 -1.0 -0.4 -0.9 0.9 -1.5 0.4 -1.6 2.3 1975 -1.21 0.20 7 1.8 -0.2 -0.1 1.6 1.2 0.2 0.3 -0.9 0.6 -1.4 0.2 -0.9 1974 -0.45 -0.76 7 -1.1 -1.8 -0.6 -1.7 -1.2 -0.3 -1.1 0.1 0.6 -0.9 -0.8 -0.3 1973 -0.69 0.24 6 -0.1 1.1 0.5 0.8 0.5 -0.9 2.2 1.1 -1.5 0.2 0.1 -1.3 1972 -1.30 0.62 6 -0.4 0.4 -0.4 0.2 0.3 1.9 0.5 0.2 1.1 0.5 2.2 0.9 1971 -0.67 -0.63 5 -1.5 -0.6 -0.1 -0.9 0.8 -2.0 -1.1 -0.0 1.7 -2.1 -1.7 0.1 1970 -0.91 0.24 5 0.3 1.4 0.5 0.5 -2.1 2.3 0.2 0.0 -0.5 0.9 -1.3 0.6 1969 -1.50 0.58 5 1.2 -1.2 1.2 -0.0 3.0 -1.5 1.4 2.0 -0.3 0.8 0.2 0.1 1968 -1.11 -0.38 5 1.3 1.6 -0.1 -0.8 -2.9 1.1 -0.3 -2.2 -0.6 -1.5 -0.7 0.5 1967 -1.73 0.61 4 -1.9 -0.6 -0.4 0.5 2.2 -0.7 -0.1 0.3 1.4 3.5 3.0 0.0 1966 -0.91 -0.82 5 0.1 -1.7 0.7 -0.2 -1.8 -1.1 -0.3 -0.9 -1.4 -1.2 -1.2 -1.0 1965 -1.17 0.27 4 0.1 0.9 -1.7 -0.1 1.3 0.9 -0.6 -0.1 -0.2 1.4 0.9 0.5 1964 -1.62 0.45 4 2.2 2.5 0.6 0.9 -0.2 1.4 0.0 0.7 0.1 -2.0 -0.9 0.2 1963 -1.32 -0.30 4 -0.3 -1.0 -0.1 -0.4 0.6 -3.2 0.6 -0.2 0.1 1.8 0.0 -1.5 1962 -1.17 -0.15 4 -0.7 0.5 0.2 -0.6 -0.3 2.5 1.2 0.6 -0.5 -3.5 -1.0 -0.3 1961 -1.60 0.43 4 0.4 0.1 0.1 0.3 1.8 -0.1 -2.2 -0.6 2.0 1.0 0.9 1.5 1960 -0.34 -1.27 4 -1.8 -3.0 -2.0 -1.7 -1.8 -0.6 0.1 -1.1 -2.6 0.6 -1.8 0.6 1959 -1.23 0.90 4 1.2 0.1 2.5 0.1 -1.5 -0.1 2.0 1.1 2.7 1.8 1.5 -0.6 1958 -1.19 -0.04 4 -0.8 1.5 -0.3 0.6 1.2 0.5 0.2 0.0 -1.5 -1.5 -1.0 0.5 1957 -1.89 0.70 3 0.4 -0.4 1.2 0.5 2.1 0.8 0.1 -0.5 0.9 1.7 1.3 0.2 1956 -1.77 -0.12 4 1.2 -0.0 -1.4 0.6 -0.6 0.2 -0.9 -0.5 -1.9 0.8 0.5 0.6 1955 -0.70 -1.08 4 -1.6 -0.9 -2.2 0.7 -2.2 -0.4 -1.2 -0.4 0.1 -3.0 -0.9 -1.0 1954 -1.19 0.50 4 -0.0 1.1 0.5 -2.3 1.5 -1.2 -0.6 2.7 2.5 1.7 0.4 -0.2 1953 -1.45 0.25 4 0.8 -1.2 1.4 0.6 -0.2 1.2 1.0 -0.8 -1.6 0.1 0.4 1.4 1952 -1.19 -0.25 4 0.3 0.8 -0.8 -0.1 0.2 -1.1 0.4 0.2 0.3 0.1 -3.0 -0.4 1951 -1.60 0.41 4 -0.7 -0.1 1.2 1.7 -1.0 1.9 1.1 -1.0 -0.3 0.4 1.9 -0.2 1950 -2.11 0.50 4 0.1 2.8 0.5 1.8 2.0 -0.9 -1.4 -1.1 1.1 0.4 1.2 -0.3 1949 -1.73 -0.38 4 0.8 -1.6 0.7 -1.2 -1.4 -0.2 -0.2 1.6 -0.9 -2.3 -0.5 0.6 1948 -1.55 -0.18 4 -1.3 -0.3 -0.1 -0.4 -0.2 -1.3 -0.9 -0.6 0.8 2.0 -0.7 0.8 1947 -1.71 0.17 3 0.5 1.9 -0.3 2.3 -0.3 2.0 0.6 -1.2 -1.1 -3.0 1.8 -1.1 1946 -1.13 -0.58 3 -0.2 -2.8 -1.0 -2.9 0.4 -1.2 0.7 0.1 0.5 1.5 -2.7 0.6 1945 -0.82 -0.31 3 0.2 0.4 -1.4 -0.0 0.7 1.0 0.0 0.4 -2.9 -1.8 -0.3 0.0 1944 -2.04 1.23 3 0.3 2.6 1.5 0.8 0.4 0.4 0.2 2.0 3.2 1.6 2.4 -0.6 1943 -2.00 -0.04 3 2.3 -0.2 1.1 0.4 -1.3 -0.5 -0.2 -1.7 -1.1 0.3 -0.8 1.3 1942 -0.69 -1.32 3 -2.5 -3.5 -1.3 -1.5 -0.8 -0.4 -2.6 0.4 -0.5 -0.7 -0.8 -1.7 1941 -1.07 0.38 3 1.5 1.3 -0.8 0.9 2.3 -0.1 2.1 -0.5 -0.4 -1.7 0.0 0.1 1940 -1.88 0.81 2 -0.4 0.3 0.6 -1.1 -2.6 1.6 2.6 2.5 2.3 2.7 0.8 0.6 1939 -0.86 -1.02 3 -0.6 -0.1 -1.4 -0.2 -0.4 -1.1 -1.1 -1.3 -1.7 -2.2 -1.8 -0.3 1938 -2.02 1.16 2 1.5 -0.6 1.4 2.5 0.0 0.4 1.1 0.9 3.3 2.2 0.6 0.8 1937 -1.11 -0.91 2 -2.8 -1.2 0.2 -1.4 2.6 0.9 -2.9 -3.5 -2.3 -0.6 1.0 -0.9 1936 -2.02 0.91 3 1.7 1.6 1.2 1.1 -0.9 0.7 1.5 1.8 1.9 1.1 -0.9 0.2 1935 -2.56 0.54 3 -0.9 -0.5 1.8 0.8 0.7 -0.5 0.2 0.3 -0.5 1.0 3.8 0.4 1934 -2.12 -0.44 3 -0.4 -1.1 -2.2 0.5 0.3 -0.8 -1.0 2.0 0.0 -1.0 -2.4 0.7 1933 -1.81 -0.31 2 -0.4 2.2 -1.5 -1.7 -0.4 1.5 -0.6 -1.1 0.2 0.5 -1.4 -0.9 1932 -2.55 0.74 2 2.3 -1.3 2.0 -0.6 2.2 0.6 0.0 -0.1 0.1 0.8 3.3 -0.5 1931 -1.46 -1.09 2 -2.2 1.2 -0.2 -0.2 -2.0 -2.8 -0.3 -0.7 -3.1 -0.9 -3.7 1.9 1930 -1.81 0.35 2 -0.6 -1.0 0.5 0.4 -1.6 2.2 2.3 -0.6 4.1 0.0 -0.3 -1.0 1929 -1.12 -0.69 2 1.8 1.9 -2.2 -2.8 1.8 0.4 -0.7 -2.2 -4.0 -0.8 -1.0 -0.3 1928 -1.96 0.83 2 0.2 -0.5 2.0 5.3 0.8 -1.5 -0.4 1.7 0.9 -0.1 2.0 -0.3 1927 -1.81 -0.14 3 0.2 -0.9 0.4 -2.5 1.0 1.1 -0.6 1.0 -0.2 -0.3 -1.2 0.3 1926 -2.48 0.67 3 1.5 2.6 -0.3 1.0 -2.4 -0.6 3.0 -0.3 3.1 1.1 0.5 -1.3 1925 -1.46 -1.02 3 -2.6 -2.4 -0.8 0.1 -1.5 -1.5 -4.7 -0.5 -3.0 1.5 2.4 0.7 1924 -2.19 0.73 3 1.4 0.4 0.2 -0.9 2.0 1.7 2.6 0.5 2.1 -1.2 -0.8 0.6 1923 -1.99 -0.20 2 -2.7 -0.4 1.0 0.2 0.1 -1.2 2.2 -0.6 -1.8 -0.8 0.9 0.6 1922 -1.99 0.00 2 0.5 2.1 1.2 1.2 -2.2 -0.6 -2.3 0.7 1.2 1.2 -0.8 -2.2 1921 -2.28 0.29 3 -0.2 -1.7 -0.3 1.7 2.4 1.3 0.7 0.3 -0.2 -1.4 -0.1 0.9 1920 -1.26 -1.03 3 0.7 1.9 -1.4 -2.6 -2.3 -2.8 -2.6 -2.2 -0.9 -0.1 -0.1 0.1 1919 -1.95 0.70 3 -0.4 1.4 1.9 0.0 1.3 0.8 2.5 2.1 -1.1 0.1 -0.3 -0.0 1918 -2.56 0.61 3 2.2 0.1 0.1 0.8 2.1 3.0 -2.8 0.0 1.3 0.5 -0.1 0.1 1917 -1.51 -1.06 3 -2.7 -2.7 -1.7 0.3 -2.9 -3.4 3.6 -2.2 -2.0 0.4 1.6 -0.8 1916 -1.61 0.10 3 2.4 0.9 -0.7 -0.6 1.0 -0.5 -1.9 2.2 3.3 -0.4 -3.6 -0.9 1915 -0.91 -0.69 3 -1.0 -1.7 -0.5 -1.2 -0.3 1.7 -0.6 -3.4 -3.6 -2.3 2.8 1.8 1914 -1.82 0.91 3 -0.4 -0.1 1.5 0.2 1.5 1.8 -0.6 2.5 3.0 2.4 -1.0 0.2 1913 -1.52 -0.30 3 -1.8 0.5 0.3 0.7 -2.5 -0.1 2.0 -0.7 -0.5 -1.1 0.5 -0.9 1912 -1.48 -0.04 3 1.0 -0.1 -1.3 -0.4 0.5 0.1 -0.3 0.8 -0.4 0.2 -1.0 0.4 1911 -1.56 0.07 3 -0.6 -0.4 1.3 -0.5 0.3 -0.7 0.6 -0.6 -1.5 1.1 1.3 0.6 1910 -2.35 0.79 3 2.5 0.8 -0.8 2.5 1.2 -0.6 0.1 1.8 1.4 0.2 0.9 -0.6 1909 -2.61 0.27 3 -1.6 1.5 1.9 -1.0 -0.8 1.8 0.9 0.2 1.7 0.1 -1.9 0.4 1908 -1.93 -0.68 3 0.3 -1.9 -0.1 -0.5 -0.1 -1.1 -2.0 -1.5 -1.1 -1.0 1.5 -0.7 1907 -1.09 -0.85 3 -0.7 -0.6 -2.2 -2.8 -1.1 -2.3 -0.6 -0.4 1.8 -0.1 -0.7 -0.3 1906 -1.64 0.55 3 0.3 0.9 -0.2 1.2 0.0 1.7 1.4 0.3 0.4 1.1 0.4 -0.9 1905 -1.92 0.28 3 0.1 0.9 0.5 1.6 0.6 0.1 -0.4 -0.2 -1.5 0.8 -0.3 1.3 1904 -1.71 -0.20 2 0.0 -0.9 -0.3 -0.6 -0.6 -1.5 0.4 0.2 0.9 -1.5 0.6 1.1 1903 -2.34 0.63 2 2.6 2.2 0.2 0.9 1.4 0.9 -0.2 -0.4 -0.8 0.8 0.3 -0.5 1902 -2.35 0.01 2 -1.6 0.4 3.0 -0.1 -0.6 0.8 1.4 2.2 -0.6 -0.8 -2.2 -1.9 1901 -2.13 -0.21 2 0.2 -2.3 0.1 0.2 0.5 -1.1 0.4 -0.1 1.2 -1.4 0.7 -0.9 1900 -3.18 1.04 1 3.4 4.0 -0.3 0.0 0.9 2.4 -0.9 -0.3 -2.8 3.6 -0.3 2.8 1899 -3.18 0.01 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.9 1.2 -0.2 1898 -3.18 0.00 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 For Country Code 5019431 From input file ./data/v2.mean.inv11.M.dt
Suddenly it’s a fairly deep and much more smooth “Global Warming”.
High Ho The Dairy-O A Splicing We Will Go…
This really needs a more complete treatment, like that Boballab did for Costa Rica, looking at each of these 7 stations and how the “blend” interacts. But what it looks like to me is a simple case of: “It’s a Bad Idea to Splice Data Sets” even at the individual station level and down to the “Duplicate Number” of processing at the same station.
FWIW, here are the GHCN actual temperature data for Marble Bar:
[chiefio@Hummer 2010]$ inin "MARBLE BAR" 50194315000 MARBLE BAR -21.17 119.75 189 239R -9HIDEno-9x-9SAND DESERT A 0 [chiefio@Hummer 2010]$ grepmean ^50194315000 5019431500001901-9999 305 295 276 233 183 168 192 249 280 333 345 5019431500001902 315 310 326 279 230 194 189 217 249 276 316 327 5019431500001903 344 332 326 278 243 204 187 213 240 282 312 318 5019431500001904 344 326 321 282 232 187 184 215 247 265 323 333 5019431500001905 342 334 328 301 239 186 187 214 230 279 317 346 5019431500001906 344 344 329 317 244 213 200 216 231 293 324 333 5019431500001907 332 331 302 282 234 192 196 217 249 298 317 342 5019431500001908 351 322 309 285 231 183 175 200 236 278 330 323 5019431500001909 322 338 330 272 227 197 189 199 258 281 308 331 5019431500001910 356 339 315 297 239 196 187 224 279 290 320 322 5019431500001911 341 333 337 293 241 184 191 218 260 295 334 333 5019431500001912 356 337 315 292 246 186 186 221 256 303 325 340 5019431500001913 333 345 315 290 215 182 209 216 243 285 328 332 5019431500001914 327 346 340 301 236 205 200 237 273 316 316 330 5019431500001915 320 323 330 286 234 219 196 202 242 288 345 352 5019431500001916 353 338 318 277 247 222 180 229 271 283 305 343 5019431500001917 312 308 307 273 215 188 216 203 256 292 319 330 5019431500001918 336 304 307 290 241 211 186 206 270 303 330 336 5019431500001919 348 329 331 294 248 216 203 228 252 302 327 334 5019431500001920 348 348 315 257 229 194 186 208 244 294 319 332 5019431500001921 351 318 303 282 255 203 191 208 244 281 326 350 5019431500001922 354 342 320 293 235 199 171 217 260 295 321 328 5019431500001923 326 338 327 293 235 190 190 210 242 284 331 334 5019431500001924 350 350 333 283 260 212 223 216 262 271 314 343 5019431500001925 318 315 315 281 247 197 168 208 230 288 337 350 5019431500001926 337 346 314 296 220 190 204 215 269 299 344 335 5019431500001927 336 326 316 268 228 205 193 226 265 295 324 339 5019431500001928 337 325 342 319 235 192 188 245 273 293 344 328 5019431500001929 357 344 307 285 255 190 174 219 231 282 330 330 5019431500001930 350 335 320 290 237 217 200 211 272 281 330 320 5019431500001931 327 344 317 287 213 184 198 208 243 278 293 343 5019431500001932 345 333 339 276 230 198 200 207 246 283 331 337 5019431500001933 352 352 319 267 231 207 192 194 243 289 314 327 5019431500001934 336 333 292 270 231 193 188 214 244 272 290 340 5019431500001935 325 330 313 277 235 184 184 212 233 285 341 347 5019431500001936 348 353 334 291 231 194 205 239 265 299 329 350 5019431500001937 318 335 332 274 256 203 178 207 249 298 341 335 5019431500001938 331 327 342 297 253 208 186 218 275 317 340 348 5019431500001939 320 326 319 289 247 186 169 199 249 284 315 343 5019431500001940 315 333 327 281 223 209 200 224 272 309 325 346 5019431500001941 344 349 303 307 249 197 219 211 263 279 318 342 5019431500001942 304 308 300 276 245 201 195 223 259 285 308 319 5019431500001943 341 306 317 282 220 192 187 204 244 289 299 339 5019431500001944 348 345 338 294 238 202 191 227 288 301 332 333 5019431500001945 344 347 315 296 244 209 195 233 246 276 325 332 5019431500001946 336 308 308 260 245 196 198 229 245 291 297 345 5019431500001947 347 322 297 284 245 219 209 210 237 264 320 324 5019431500001948 324 318 296 271 231 189 187 205 246 290 305 330 5019431500001949 334 291 308 261 218 184 189 225 240 272 301 334 5019431500001950 339 332 322 278 239 181 175 209 255 272 317 335 5019431500001951 333 331 333 301 230 208 189 200 254 283 344 336 5019431500001952 334 344 321 297 228 194 192 203 259 283 313 329 5019431500001953 345 331 340 289 226 204 202 191 239 285 315 342 5019431500001954 341 337 341 274 247 194 194 219 262 295 316 340 5019431500001955 323 328 319 287 222 185 185 215 262 266 308 328 5019431500001956 337 327 298 289 214 197 177 211 245 278 316 338 5019431500001957 349 319 324 304 247 212 179 208 266 299 336 324 5019431500001958 323 342 317 308 265 218 180 209 236 267 318 337 5019431500001959 349 343 342 301 230 205-9999-9999 268 300 339 337 5019431500001960 331 308 322 289 216 202 200 210 243 303 319 337 5019431500001961 332 308 314 290 227 197 177 203 261 314 329 351 5019431500001962-9999-9999 324 287 230 220 188 201 248 276 313 344 5019431500001963 318 301 321 278 234 188 193 202 253 295 319 330 5019431500001964 339 336 327 291 230 207 192 217 262 269 302 330 5019431500001965 340 348 304 285 251 220 187 220 258 293 324 345 5019431500001966 338 317 318 283 216 200 188 199 228 272 298 316 5019431500001967 315 307-9999 289 247 191-9999 204 248 308 328 326 5019431500001968-9999 326 304 282 212 210-9999 186 239 285 318 327 5019431500001969 343 311 314 279 242 189 197 214 238 301 329 342 5019431500001970 357 333 330 293 226 216 199 214 235 304 311 333 5019431500001971 330 322 324 280 234 190 185 207 251 283 292 336 5019431500001972 330 327 320 284 242 216 199 212 267-9999 335 351 5019431500001973 323 342 327 298 245 202 229 226 247 293 324 336 5019431500001974 312 323 319 265 229 198 204 229 258 283 307 328 5019431500001975 340 318 319 292 247 204 210 212 264 264 318 316 5019431500001976 320 322 294 278 231 199 195 217 245 268 293 347 5019431500001977 346 348 317 284 231 200 197 225 239 305 325 337 5019431500001978 337 315 322 289 222 190 174 207 226 287 314 321 5019431500001979 347 329 319 296 219 211 192 218 247 293 338 340 5019431500001980 328 305 334 273 248 214 193 227 281 277 316 346 5019431500001981 335 305 308 306 241 199 191 224 273 302 297 337 5019431500001982 319 311 299 280-9999 194 197 224 260 294 324-9999 5019431500001983-9999 340 317 258 232 208 186 224 271 295 320 329 5019431500001984 328 338 296 283 252 205-9999 211 240 307 329 326 5019431500001985 352 330 326-9999-9999 205 198 226 262 282-9999 343 5019431500001986 330 337 343 304 247-9999 174 200 249 269 330 351 5019431500001987 331 308 316 305 236 219 210 219 260 291-9999 337 5019431500001988 347 328 322 290 233 215 212 215 259 322 316 316 5019431500001989 336 336 309 287 245 189 195 213 268 301 323 348 5019431500001990 334 326 331 302 249 213 199 231 262 300 356 347 5019431500001991 354 341 337 302 251 220 209 231 256 328 310 346 5019431500001992 339 340 329 298-9999 231 219 211 246 286-9999-9999 [chiefio@Hummer 2010]$
The “-9999” are “missing data flags”.
Postscript
Well, this has been fun. I hope folks enjoyed watching the posting be built “real time”. It was somewhat interesting, yet a small stress, to be putting things up “as discovered” and without a lot of “checking time” before hitting that “post” button. (Don’t know that I’ll do a lot of it in the future ;-)
On the other hand, you got to see how things progressed from “idea” to “early findings” to “with reports” to “with some graphs and pictures” and eventually on to “with more pictures, complete graphs, and conclusions along with comparison to GISS anomaly maps”. Hopefully that gives a bit of an idea how much work can go into making a finished product of a posting…
Unless there is a request, I’ll be deleting the “anomaly reports” above about Tuesday California time as the same data are now in the graphs. I’ll leave up the actual Marble Bar temperatures as there was a request for them.
Musings from the Chiefio 
photos available here http://www.pleasetakemeto.com/australia/marble-bar/photos
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The Port Hedland co-ordinates take you to a place called Pardoo, 102 kilometres away.
REPLY: [ The meta data in GHCN are not always the greatest… but I’d expect the name is more accurate indicator. You might want to check DMS vs decimal degrees… Putting it in “Google Maps” as 20 10″ S 119 57″ E gives Port Hedland. Thought the port proper as the Airport is a ways outside of town near the rail line. So I’d expect it’s DMS but with a bit of error from someone picking a place off a map rather than using the actual airport location … -E.M.Smith ]
Hi there – that’s very interesting.
I am working through Australian data and am finding a different set of circumstances, but also leading to another hockey stick, this time pivoted on the year 1975.
Thsi is slow work as I have other things I must attend to.
I will make a detailed post when I can.
My tentative conclusion from what I have seen so far:
– no real warming in Australia for 100 years.
– much UHI, causing aparent warming.
– hockey stick caused by “value adding”, use of anomolies rather than absolutes and data selection – all of which I can model simply.
All good fun.
@Aussie Dan
Yeah, I’ve seen a 1990 “Pivot” and a 1980 “Lift” but also a “something” in the 1970s in different places. It does look like it is ‘sort of mid decade” but I’ve not narrowed it down yet. It shows up a little bit in the “hair graphs” as a tangle or lowered volatility, but not a full on bulls eye as in the ’90s. Ive not mentioned it as much for two simple reasons. It is ‘weaker” in the places I first started to look at (USA / Europe) and it isn’t as easy to spot in the graphs with dT/dt (so I probably need a different tool tuned for it).
FWIW, there are a couple of stellar examples of the “70s” thing in Africa. See Morocco for example.
When you get something ready to go, put up a link (or if you need a place to put it up, let me know and we’ll work out a posting.).
At all:
I’ve added graphs. If you are just skipping over the top to read the comments, go back and look at the graphs.
Hi Chiefio,
You may know that BOM has original data here http://www.bom.gov.au/climate/data/weather-data.shtml
The stations named Marble Bar are a bit confusing.
There is one numbered 004106 at 21 36S, 118.88 E listed as 91.9km away and another with the same number listed 0.6 km away at 21 17S, 119 75 E. Looking at the data it seems they are the same and the station commenced in the year 2000 (I presume it is the Marble Bar airstrip).
Then looking at closed station there is one called Marble Bar Comparison with a number of 004020 (21 18S, 119 75E elevation 182m). This station was opened in 1895 and closed in 2006. I presume that would be in town at the post office. (Around Australia there were a huge number of stations opened in the period 1892 to 1900 all operated officially by post offices- these have all been closed when the PMG Post Master Generals Department was corporatised to Australia Post and Post Offices where either shut or contracted out)
Any way you can find the monthly average maximums here
http://www.bom.gov.au/jsp/ncc/cdio/weatherData/av?p_nccObsCode=36&p_display_type=dataFile&p_startYear=&p_stn_num=004020
A quick glance shows the highest monthly temperatures Jan 2005 at 44.6C followed by 44.4C in Jan 1910 & 1922. The highest annual ave. max was 37.1C in 1944 followed by 36.9C in 1924. The range is 33.5C(1978) to 37.1 (1944) with a mean of 35.3. There is no evidence of an increase in recent years. For Station 4106 the mean annual average max. for the years 2001 to 2009 is 35.3 the same as that for station 4020
You can download the data for max and min in separate csv files.
I would be interested in your comparison of the actual raw data and the database you have accessed. Maybe the latter contain a hidden adjustments.
EM
Biggest infrastructure development at Port Hedland and inland has been by Fortescue metals group limited. Here’s the link.
Note to investors, I own the stock.
http://www.fmgl.com.au/IRM/content/project_infrastructure_port.htm
I guess to be technically correct:
I own “some” of the stock.
REPLY: [ What, not all of it? ;-) Trades on the Australian exchange (from the USA in Bigcharts ticker is AU:FMG ) and in the USA on the NQB variation of NASDAQ under FSUMY and in Frankfurt under DE:FVJ and where I presume the “DE” isn’t needed if you are IN Germany… Looks like there might be a preferred listing in Australia as well AU:FMGDA but I’ve not researched the capital structure, just speculating from the symbol. Nice rising trend, looks like a good pick… PE is a touch high at 27, but if it’s growing well…. And with the Aussie Dollar kicking U$ butt, not a bad deal at all for those of us on this side of the lake. Hmmm….. I’ll need to ponder this one some more. Thanks! -E.M.Smith ]
Link to some pictures at Port Hedland:
http://www.fmgl.com.au/IRM/content/project_imagegallery_milestones.htm
REPLY: [ Nicely done image gallery. Love the train shots (grew up ‘near the tracks’ and like hearing trains in the distance… the ‘clicky clack’ will always put me to sleep if I’m stressing… comforting somehow.) You can really sense the growth of industry from the mine to the trains to the port onto the large ships. -E.M.Smith ]
Nullagine to Marble Bar is one helluva drive, I can tell you. “Nearby” does NOT apply! The only redeeming feature of both places is that the Swan lager is served icy cold (do NOT ask for a VB!)
My cousin writes the software which controls the three or four diesel locos which haul the mile-long trains of ore into Port Headland. He’s been there a number of years and if you ask him about the climate his reply is “Bloody hot! Always.”
When I was driving on the Inland Highway the road was all dirt-track. I wonder if its been tarred over yet?
REPLY: [ Yeah, I usually put “nearby” in quotes as it bugs me too. But GIStemp will “fill in” a station via “homogenizing” from up to 1000 km away and it will use a station up to 1200 km away to fill in an anomaly “Grid Box”. So, like it or not, in “climate science” we have a definition of a “nearby” station of 1000 to 1200 km away… See Hansen’s papers on “The Reference Station Method”. In San Jose, California, it can be 50 F hotter than in San Francisco, or the same temperature, or 20 F colder (that I know of, maybe more…) and yet it’s only 50 miles away. Sacramento can be 60+ F hotter and near 40 F colder and it’s about 1 hours drive away from San Francisco. Heck, even Lake Tahoe with blizards and skiing is “nearby” in “climate science”. I hate it, but that’s what they do… So these Australian stations are highly likely to be combined and used to fill in the “nearby” grid boxes. And they will be treated as interchangeable and merged, spliced, and blended via The Reference Station Method with abandon. So it’s reasonable to ask what biases might be hiding in this combining that could “leak through” that method. -E.M.Smith ]
Somewhat o/t
I was once questioned on the meaning of a quote which went along the lines of:-
“You can’t scare me with hell-fire” said a new arrival to the devil. “I’m from Marble Bar”.
I’ve found some of Jones data
http://www.archive.org/search.php?query=%28world%20weather%20data%29&page=1
world weather records
http://www.archive.org/stream/worldweatherreco22smit#page/n1/mode/2up
http://www.archive.org/stream/worldweatherreco020smit#page/n1/mode/2up
http://www.archive.org/stream/worldweatherreco020smit#page/n1/mode/2up
there are other countries too!
When scratching around earlier today, trying to get up to speed, I discovered that a Port Hedland is listed in the Global Surface Network (GSN) as follows under Australia (Lat 20-S – 25~S) as:
Index# Station name Lat Long Elev(m)
94312 PORT HEDLAND AIRPORT 20 22S 118 38E 9
The full list of GSNs (c1000) is here:
Click to access GSN_Station_Region_Jan09.pdf
A write up about the GSN selection process is here:
Click to access gsnselection.pdf
Apologies if this is all old hat information. I do note, however, that the write up says that c90+% of the GSNs are in the GHCN station list.
REPLY: [ Thanks for the pointers! I think it is the same place. The LAT and LONG look like what I remember the Airport as being. (It’s a bit inland and toward the rail road tracks on the Eastern approach to town IIRC the map. As near as I can tell, the GSN’s are a strongly airport biased subset of GHCN in total but very similar to GHCN in 2009 after they dropped a lot of thermometers… but I’ve not proven that perception. -E.M.Smith ]
UPDATE: I’m now done adding to the posting. Some new things were just added, so you all may want a re-look. At this point I’m of the opinion that this posting is “done” and will start working on the next one.
@Ian: I LOVE it!
My “home town” had regular excursions to 110 F and the odd day or two that hit 114 – 117 F (in the shade, and thar aint no shade!) About 43 to 47 C. Every Summer.
When I visited Phoenix Arizona I was right at home in about the same temps. One day it hit close to 120 F (not sure which side ;-) but the news on the radio reported the tarmac at the airport was soft and melting so was being temporarily shut down (IIRC they said it was 128 F at that part of the airport… and about 122 F elsewhere). That was a nice warm day… we hit the ‘solar heated pool’ at the hotel and it was warm. Didn’t realize how warm until I jumped in the attached Hot Tub (that must, by law, be kept below 105 F or so) and it was COOLER than the pool! Checked the thermometer. Yup 104 F in the “Hot “Tub ;-)
I’ll have to remember to say “Hell ain’t nuttin, I’m from a place as hot as Marble Bar!” We even had red dirt in the hills too …
Chiefio,
On view the tables for Marble Bar appear truncated but they downloaded OK. If I get time I will make a comparison between the actual raw data and the GHCN data.
I have had a quick look at the BOM data for 1924 and 1992. It appears in the winter particularly June & August the 1992 mininums are higher than for 1924 but for the maximums the reverse applies. Overall for the years, the average temperate in 1924 (28.5C) is higher than in 1992 (28.2C). I would conclude that the GHCN data has been adjusted to give a higher anomaly in 1992.
I would suggest that GHCN are not only splicing data but are also applying a UHI adjustment incorrectly to rural sites (ie up for rural instead of down for cities) as has been shown elsewhere eg http://wattsupwiththat.com/2010/02/26/a-new-paper-comparing-ncdc-rural-and-urban-us-surface-temperature-data/
Further of course there is no need for the splicing. The Marble Bar data is still available. There is an overlap between the old PO station 4020 and the new 4106 station (0.6km away) of six years so that it is possible to pick up any UHI effect difference. I have noted that with a small Queensland town station Gayndah where the PO station 39039 was closed in 2009 while the Airport station was opened in 2003. In the latter case the PO station was 0.2 higher than the airport (2km away)
Great post.
The area south of Broome to Exmouth along the coast and inland to various Pilbara mining towns is often regarded as the hottest part of Australia, and covers a very large area. It is affected by a few cyclones each summer, causing temperatures to greatly reduce when rain and cloud from these systems crosses the coast and moves inland, cooling desert regions sometimes all the way to the south coast of Australia, flooding South Australia even.
Some years, towns here often have few or no cyclones, resulting in consistent hot temperatures above 40 degrees C. This summer is one of those and rainfall has been very limited.
Here in Broome, closer to Port Hedland than Telfer, the last few months have been above average. However Broome’s long term temperature average over the last 70 or so years measured at the airport is only 0.1C more than the previous 50 years or so at the Post Office, just 1.6 km away.
Broome’s temp. is milder than all Pilbara towns due to the sea being on 3 sides so that the town is more affected by sea water temperatures. The airport runs across the neck of the peninsular so it may have a smaller UHI than most places. There can be a temperature change just 10 km inland at times up 7 or 8 degrees in summer and down the same in winter.
chiefio. BoM lists the following co-ordinates for the Port Hedland surface station No.004032 (WMO No.94312)
20.3725S Lat 118.6317E Long
4 decimal places – how’s that for exactitude !
REPLY: [ I Like It! Now if you can just talk NASA / GISS and NOAA / NCDC into doing it… -E.M.Smith ]
Since getting the monthly mean MAX and MIN series for Marble Bar 1901-2006 a few days ago from Mike Jonas’ posted link on the “Aussie go…” thread, I compiled yearly means of each series to remove the seasonal cycle. The yearly means show a mild declining trend in the MAXes and a slightly stronger rising trend in the MINs. In other words, the diurnal range is shrinking and the yearly mid-range temp is rising very mildly (~.2K per century) overall.
The curious thing, however, is the abrupt flatenning of the MIN series in the 70’s, while the MAXes were declining, leading to a sharp drop in the diurnal range. This suggests either a shift to stronger marine influence at the station or a change in the measurement process there. In any event, the Marble Bar record is quite enigmatic in its stochastic non-stationarity.